high performance computing on graphics processing units: hgpu.org

Simple models of major CPU-intensive MAGIC electromagnetic (EM) plasma code portions using the CUDA language run on the graphical processing unit (GPU) indicate 12x computing rate compared to the same calculations run on the CPU only. MAGIC is being modified for performance speedup of large-scale plasma-wave EM calculations using GPU processing. Results to-date from MAGIC […]

In this paper we present a raw signal simulator based on GPU parallel computation for synthetic aperture radar. We describe a mathematical model of SAR simulation based on FFT in detail and implement it through GPU parallel computation. GPU has a better performance in complex calculation than CPU. It supports parallel computation and raises the […]

In this paper we present an improved automatic visual inspection system. In this system, homography based visual servo is used to accurately locate the camera position and attitude so that a template matching inspection can be realized. To improve the visual servo system’s performance, we propose a combination strategy of a GPU based Efficient Second-order […]

In this paper we present a framework for the rendering of dynamic 3D virtual environments which can be integrated in the development of videogames. It includes methods to manage sounds and particle effects, paged static geometries, the support of a physics engine and various input systems. It has been designed with a modular structure to […]

We propose a novel approach which employs random sampling to generate an accurate non-uniform mesh for numerically solving Partial Differential Equation Boundary Value Problems (PDE-BVP’s). From a uniform probability distribution U over a 1D domain, we sample M discretizations of size N where M>>N. The statistical moments of the solutions to a given BVP on […]

Graphical Processing Units (GPUs) are more and more frequently used for lattice QCD calculations. Lattice studies often require computing the quark propagators for several masses. These systems can be solved using multi-shift inverters but these algorithms are memory intensive which limits the size of the problem that can be solved using GPUs. In this paper, […]

The shooting and bouncing ray (SBR) method is highly effective in the radar cross section (RCS) prediction. For electrically large and complex targets, computing scattered fields is still time-consuming in many applications like range profile and ISAR simulation. In this paper, we propose a GPU-based SBR that is fully implemented on the graphics processing unit […]

In this paper, we propose an empirical optimization technique for one of the most important sorting routines on GPU, the radix sort, that generates highly efficient code for a number of representative NVIDIA GPUs with a wide variety of architectural specifications. Our study has been focused on the algorithmic parameters of radix sort that can […]

Graphical Processing Units (GPU) architectures are massively used for resource-intensive computation. Initially dedicated to imaging, vision and graphics, these architectures serve nowadays a wide range of multi-purpose applications. The GPU structure, however, does not suit all applications. This can lead to performance shortage. Among several applications, the aim of this work is to analyze GPU […]

Recent advancements in semi-conductor fabrication has led to a dramatic increase in the size of data sets of advanced imaging sensors. While increased pixel counts leads to greater area coverage and higher resolution, it also results in higher image processing time. If real-time image processing is required, power and size requirements go up as large […]

Graphic Processing Unit (GPU) has involved into a parallel computation for it’s massively multi threaded architecture. Due to its high computational power, GPU has been used to deal with many problems that can be easily parallelized. This paper will present a GPU based spot noise parallel algorithm for 2D vector field visualization. It uses spot […]

Calculating Euclidean distance matrix is a data intensive operation and becomes computationally prohibitive for large datasets. Recent development of Graphics Processing Units (GPUs) has produced superb performance on scientific computing problems using massive parallel processing cores. However, due to the limited size of device memory, many GPU based algorithms have low capability in solving problems […]